Rudder Roll Stabilization For Ships With Generalized Predictive Control Based On Fuzzy Gain Scheduler

摘要：

This paper describes an integrated controller for handling the problem on rudder roll stabilization (RRS) of ship model uncertainty and hard nonlinearities about input rate and magnitude saturations. According to the state space model of ship, a generalized predictive controller (GPC) is deduced. The controller is adjusted by fuzzy gain scheduler (FGS), which is optimized with genetic algorithms (GA). Efficiency of the integrated controller is studied and illustrated by simulations carried out with a small relatively fast monohull under the typical navigation condition as well. Simulation demonstrates the robustness of the integrated controller when changed the ship speed or the container.

关键词： rudder roll stabilization generalized predictive control fuzzy gain scheduler genetic algorithms

作者: Dehong GE Qixiao GAO An LI Yongbing CHEN

作者单位: College of Electrical and Information Engineering Naval University of Engineering Wuhan,China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 1329-1332

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）